5 citations · 24 across the 19 of their papers we have counts for
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Assessing Effectiveness of Using Internal Signals for Check-Worthy Claim Identification in Unlabeled Data for Automated Fact-Checking
Archita Pathak, Rohini K. Srihari
While recent work on automated fact-checking has focused mainly on verifying and explaining claims, for which the list of claims is readily available, identifying check-worthy clai…
Proto: A Neural Cocktail for Generating Appealing Conversations
Sougata Saha, Souvik Das, Elizabeth Soper +2
In this paper, we present our Alexa Prize Grand Challenge 4 socialbot: Proto. Leveraging diverse sources of world knowledge, and powered by a suite of neural and rule-based natural…
Medical Literature Mining and Retrieval in a Conversational Setting
Souvik Das, Sougata Saha, Rohini K. Srihari
The Covid-19 pandemic has caused a spur in the medical research literature. With new research advances in understanding the virus, there is a need for robust text mining tools whic…
Similarity Based Label Smoothing For Dialogue Generation
Sougata Saha, Souvik Das, Rohini Srihari
Generative neural conversational systems are generally trained with the objective of minimizing the entropy loss between the training "hard" targets and the predicted logits. Often…
Self-Supervised Claim Identification for Automated Fact Checking
Archita Pathak, Mohammad Abuzar Shaikh, Rohini Srihari
We propose a novel, attention-based self-supervised approach to identify "claim-worthy" sentences in a fake news article, an important first step in automated fact-checking. We lev…